PRECISION OF SOME DROUGHT TOLERANCE INDICES IN EVALUATING THE BI-PARENTAL PROGENIES FOR DROUGHT TOLERANCE IN EGYPTIAN COTTON (Gossipum barbadense L.)

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D. A. EL-KADI
H. M. ABDEL FATTAH
T. A. EL-FEKI
A. A. ABD EL-MOHSEN
AMANY A. MOHAMED

Abstract

Two field experiments were conducted to study the response to drought stress of sixty four bi-parental (It helps in choice of breeding procedure for genetic improvement of polygenic characters) progenies in two crosses (G93x Menofy) and (G96 x C.B58) belong to Egyptian cotton (Gossypium barbadense L.). Randomized complete blocks design (RCBD) was used in well watering and stress condition arrangement with three replications during two successive cotton seasons 2016 and 2017. . Keeping the importance of production of cotton crop in view, yield and its component traits were studied to satisfy the study objectives.

Results for bi-parental analysis of variance revealed significant differences between genotypes in yield and its component traits for each of the two crosses under well watering and stress conditions. Also the results showed that differences between males and Female/males were significant. Results of correlation analysis between seed cotton yield in both conditions and calculated drought indices for each of the two crosses revealed that stress tolerance index (STI), mean productivity (MP), geometric mean productivity (GMP), yield index (YI), harmonic mean (HM) and drought resistance index (DI) were the best indices for identifying high yielding genotypes in both conditions (drought tolerant genotypes). Therefore, these indices could be used successfully as selection criteria for the screening of genotypes for performance under different water regimes. Screening drought tolerant genotypes using mean rank, standard deviation of ranks and rank sum (RS) distinguished the most drought tolerant genotypes G13 and G17 in cross (G93x Menofy) and G7 in cross (G96 x C.B58). Cluster analysis showed that the genotypes, based on indices tended to group into three groups: tolerant, semi-tolerant and sensitive genotypes. Principal component analysis (PCA), indicated that first and second components justified 99.759% and 99.892% variations for cross I and cross II, respectively among drought tolerance indices.

Keywords:
Egyptian cotton (Gossipum barbadense L.), seed cotton yield, drought tolerance indices, ranking method, principal component analysis, clusters analysis

Article Details

How to Cite
EL-KADI, D. A., FATTAH, H. M. A., EL-FEKI, T. A., EL-MOHSEN, A. A. A., & MOHAMED, A. A. (2021). PRECISION OF SOME DROUGHT TOLERANCE INDICES IN EVALUATING THE BI-PARENTAL PROGENIES FOR DROUGHT TOLERANCE IN EGYPTIAN COTTON (Gossipum barbadense L.). PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY, 22(55-56), 1-21. Retrieved from https://www.ikprress.org/index.php/PCBMB/article/view/7028
Section
Original Research Article

References

Dahab AA, B.B.M., T.H., M.S. Variability for drought tolerance in cotton (Gossypium Hirsutum L.) for growth and productivity traits using selection index African. J. of Agri. Res. 2021;2(35):4934-4942.

Yehia W.M.B. Evaluation of Some Egyptian cotton (Gossypium Barbadense L.) to water stress by using drought tolerance indice. Elixir Agriculture. 2020;143:54133-54141.

Hamouda MH, Yasser AMS, Samah MM, Eldemeryand Kamal F. Field Performance and Gene Expression of Drought Stress Tolerance in Cotton (Gossypium barbadense L.) BBJ. 2021;14(2):1-9. 2020; Article no.BBJ.26643.

Jane M, Shimelis H. Mating designs commonly used in plant breeding. AJCS. 2020;14(12):1855-1869.

Sajjad M, Khan SH, Abdus Salam Khan A. Exploitation of Germplasm for Grain Yield Improvement in Spring Wheat (Triticum aestivum L.). Int J Agric Biol. 2011;13: 695-700.

Saeed F, Farooq J, Mahmood A, Hussain T, Riaz M, Ahmad S. Genetic diversity in upland cotton for cotton leaf curl virus disease, earliness and fiber quality. Pak. J. Agric. Res. 2014;27(3):226-236.

Singh S, Pawar IS. Theory and application of quantitative genetics. New Delhi India; 2002.

Comstock RE, Robinson HF. Estimation of average dominance of genes. In: J.W. Gowen (Ed.), Hetersois. Lowa State College Press Ames. 1952;494-516.

Kearsey MJ, Pooni HS. Genetical analysis of quantitative traits. Chapman and Hall, London; 1996.

Fernandez GCJ. Effective selection criteria for assessing plant stress tolerance. In: Proc, of the Int. Symp. On adaptation of vegetables and other food crops in temperature and water stress. Tqiwan. 1992;257-270.

Rosielle AA, Hamblin J. Theoretical aspect of selection for yield in stress and non - stress environment. Crop Sci. 1981;21: 943-946.

Kristin AS, Senra RR, Perez FI, Enriquez BC, Gallegos JAA, Vallego PR, Wassimi N, Kelley JD. Improving common bean performance under drought stress. Crop Sci. 1997;37:43-50.

Jafari A, Paknejad AF, Jamial-Ahmadi M. Evaluation of selection indices for drought tolerance of corn (Zea mays L.) hybrids. Int. J. Plant. Prot. 2009;3:33-38.

Fischer AT, Maurer R. Drought resistance in spring wheat varieties. I. Grain yield responses. Aust. J. Agric. Res. 1978;29: 897-912.

Bouslama M, Schapaugh WT. Stress tolerance in soybean. Part 1: evaluation of three screening techniques for heat and drought tolerance. Crop. Sci. 1984;24:933-937.

Golestani Araghi S, Assad MT. Evaluation of four screening techniques for drought resistance and their relationship to yield reduction ratio in wheat. Euphytica. 1998; 103:293-299.

Lan J. Comparison of evaluating methods for agronomic drought resistance in crops. Acta Agric Boreali-occidentalis Sinica. 1988;7:85–87.

Gavuzzi, Rizza PF, Palumbo M, Campaline RG, Ricciardi GL, Borghi B. Evaluation of field and laboratory predictors of drought and heat tolerance in winter cereals. Can. J. Plant. Sci. 1997;77:523-531.

Farshadfar E, Elyasi P. Screening quantitative indicators of drought tolerance in bread wheat (Triticum aestivum L.) landraces, Eur. J. of Exper. Biol. 2012; 2(3):577-584.

Yan W, Rajcan I. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 2002;42:11-20.

El-Mansy YM, El-Lawendey MM, El-Dahan MAA. Genetic variabilities in growth habit and development of boll and its related with yield and fiber characters in Egyptian cotton. Egypt. J. Plant Breed. 2012;16(1):83–97.

Esmail RM. Genetic analysis of yield and its contributing traits in two inter specific cotton crosses. J. Appl. Sci. Res. 2017;3(12):2075–2080.

Mitra J. Genetics and genetic improvement of drought resistance in crop plants. Curr. Sci. 2001;80:758-762.

Mohammadi M, Karimizadeh R, Abdipour M. Evaluation of drought tolerance in bread wheat genotypes under dryland and supplemental irrigation conditions. Australian J. of Crop Science. 2011;5(4): 487-493.

Clarke JM, De Pauw RM, Townley-Smith TM. Evaluation of methods for quantification of drought tolerance in wheat. Crop Sci. 1992;32:728-732.

Guttieri MJ, Stark JC, Obrien K, Souza E. Relative sensitivity of spring wheat grain yield and quality parameters to moisture deficit. Crop Sci. 2001;41:327-335.

Farooq J, Rizwan M, Anwar M, Riaz M, Mahmood K, Petrescu-Mag V. Multivariate analysis for CLCuD and various morphological traits in some advanced lines of cotton (Gossypium hirsutum L). Int. J. Bioflux Soc. 2015;7(3):241-247.

Khalili M, Naghavi MR, Pour Aboughadareh AR, Talebzadeh J. Evaluating of Drought Stress Tolerance based on selection indices in spring canola varieties (Brassica napusL.). JAS. 2012; 4(11):78-85.

Jarwar A, Wang X, Iqbal MS, Sarfraz Z, Wang L, Ma Q, Shuli F. Genetic divergence on the basis of principal component, correlation and cluster analysis of yield and quality traits in cotton varieties. Pak. J. Bot. 2019;51(3):1143-1148.

Majidi M, Tavakoli V, Mirlohi A, Sabzalian MR. Wild safflower species (Carthamusoxyacanthus Bieb.): A possible source of drought tolerance for arid environments. Aust J Crop Sci. 2011;5(8): 1055-1063.

Nazir A, Farooq J, Mahmood A, Shahid M, Riaz M. Estimation of genetic diversity for CLCuV, earliness and fiber quality traits using various statistical procedures in different crosses of (Gossypium hirsutum L). Vestnik Orel G.A.U. 2013;43(4):2-9.

Rathinavel K. Principal Component Analysis with Quantitative Traits in Extant Cotton Varieties (Gossypium hirsutum L.) and Parental Lines for Diversity. Current Agriculture Research Journal. 2018;6(1): 54-64.

Khodadadi M, Fotokian MH, Miransari M. Genetic diversity of wheat (Triticum aestivumL.) genotypes based on cluster and principal component analyses for breeding strategies. Aust J Crop Sci. 2011;5(1):17-24.

Shakeel A, Talib I, Rahid M, Saeed A, Zia K, Saleem MF. Genetic Diversity Among Upland Cotton Genotypes For Quality And Yield Related Traits. Pak. J. Agri. Sci. 2015;52(1):73-77.

Sharma JR. Statistical and biometrical techniques in plant breeding. New Age International Publishers. 2006;432.

Zare M. Evaluation of drought tolerance indices for the selection of Iranian barley (Hordeum vulgare L.) varieties. Afr J Biotech. 2012;11:15975-15981.